Unraveling the Interplay Between Memristive and Magnetoresistive Behaviors in LaCoO3/SrTiO3 Superlattice-Based Neural Synaptic Devices

IF 8.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL Small Methods Pub Date : 2024-12-24 DOI:10.1002/smtd.202401259
Zeou Yang, Xiaozhong Huang, Yu Liu, Ze Wang, Zhengwei Zhang, Bingyang Ma, Hailong Shang, Lanzhi Wang, Tao Zhu, Xidong Duan, Hailong Hu, Jianling Yue
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Abstract

Memristors and magnetic tunnel junctions are showing great potential in data storage and computing applications. A magnetoelectrically coupled memristor utilizing electron spin and electric field-induced ion migration can facilitate their operation, uncover new phenomena, and expand applications. In this study, devices consisting of Pt/(LaCoO3/SrTiO3)n/LaCoO3/Nb:SrTiO3 (Pt/(LCO/STO)n/LCO/NSTO) are engineered using pulsed laser deposition to form the LCO/STO superlattice layer, with Pt and NSTO serving as the top and bottom electrodes, respectively. The results show that both memristive and magnetoresistive properties can coexist without any compromise in performance, and the values of ROFF/RON and tunnel magnetoresistance (TMR) ratio are both improved by ≈1000% compared to a single-period heterostructure. Notably, the Pt/(LCO/STO)5/LCO/NSTO device demonstrates superior multilevel storage performance, characterized by extended endurance, reliable retention, high ROFF/RON ratio, significant TMR ratio, and fundamental synaptic behaviors. Furthermore, density functional theory (DFT) is employed to calculate the changes in oxygen vacancies, affecting the overall energy bands and magnetic moments in the monolayer and multi-periodic structures. Simulations using the handwritten digit recognition classification achieve the highest accuracy of 94.38%. These attributes suggest that the devices hold considerable promise for application in data storage and neuromorphic computing, offering a platform for high-density neural circuits in intelligent electronic devices.

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LaCoO3/SrTiO3超晶格神经突触器件中记忆电阻和磁阻行为的相互作用。
忆阻器和磁隧道结在数据存储和计算应用中显示出巨大的潜力。利用电子自旋和电场诱导离子迁移的磁电耦合忆阻器可以促进其工作,揭示新现象,扩大应用范围。在本研究中,利用脉冲激光沉积技术设计了由Pt/(LaCoO3/SrTiO3)n/LaCoO3/Nb:SrTiO3 (Pt/(LCO/STO)n/LCO/NSTO)组成的器件,以Pt和NSTO分别作为上电极和下电极,形成LCO/STO超晶格层。结果表明,与单周期异质结构相比,该异质结构的ROFF/RON值和隧道磁阻(TMR)比均提高了约1000%。值得注意的是,Pt/(LCO/STO)5/LCO/NSTO器件具有优异的多电平存储性能,其特点是延长了存储时间,保持可靠,ROFF/RON比高,TMR比显著,突触行为基本。此外,利用密度泛函理论(DFT)计算了氧空位对单层和多周期结构中总能带和磁矩的影响。仿真结果表明,采用手写体数字识别分类的准确率最高,达到94.38%。这些特性表明,该器件在数据存储和神经形态计算方面具有相当大的应用前景,为智能电子器件中的高密度神经电路提供了一个平台。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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